Data Analyst

TalentBurst, an Inc 5000 company; Augusta (ME); Remote; USD 80,000 - 100,000; Full time

Job summary

A leading company in recruitment seeks a Data Analyst 1 for a fully remote position. You will handle multiple data sources and provide analytical insights while ensuring clear communication with both technical and non-technical teams. Candidates should have strong analytical skills and be able to handle diverse projects effectively.

Qualifications

• 3+ years of experience as a Data Analyst.
• Strong knowledge of and experience with databases and programming.
• 3-5 years' experience with data models, star schemas, data mining, and segmentation techniques.

Responsibilities

• Data analysts work with large amounts of data to find conclusions.
• Analyze data from multiple projects and multiple data sources.
• Present findings and communicate complex ideas clearly.

Skills

Analytical Skills

Communication Skills

Critical Thinking

Attention to Detail

Knowledge of Statistics

Strong Analytical Skills

Education

BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Tools

Oracle

SQL

PL/SQL

Job description

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TalentBurst, an Inc 5000 company provided pay range

This range is provided by TalentBurst, an Inc 5000 company. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$40.00/hr - $40.00/hr

Direct message the job poster from TalentBurst, an Inc 5000 company

Senior Technical Recruiter @ TalentBurst | US Recruitment Expert

Job Title: Data Analyst 1

Location: 100% Remote

Duration: 12 Months

Top 3 Skills:

• 3+ years of experience as a Data Analyst.
• 3-5 years' experience with data models, star schemas, data mining, and segmentation techniques.
• Strong knowledge of and experience with databases and programming.

Job Description:

• Analytical Skills: Data analysts work with large amounts of data: facts, figures, and number crunching.
• You will need to see through the data and analyze it to find conclusions.
• EWA Data Analyst will work on multiple projects at the same time. Work will involve multiple data sources, business groups, and vendor partners.
• The amount of time spent on each project can vary during any time worked.

Communication Skills:

• Data analysts are often called to present their findings or translate the data into an understandable document.
• You will need to write and speak clearly, easily communicating complex ideas.
• This includes the ability to translate any communication between technical and non-technical teams, at various data levels such as a high-level business view, or individual data points.
• Analysts must also be comfortable with audio/video conferencing, during any given portion of a workday.
• Working sessions can occur during any part of the day, and meetings are not always scheduled or planned.
• Communicating the planned process if data is incomplete is critical to project success.

Critical Thinking:

• Data analysts must look at the numbers, trends, and data and come to conclusions based on the findings.
• This includes adaptability to a changing environment during a project.
• Data should be presented based on the results of the analysis with no decisions on accuracy or feasibility.
• It is important to keep in mind business or application processes may impact how the data is used.

Attention to Detail:

• Data analysts must make sure they are vigilant in their analysis to include and report on all the available information.
• Attention to detail is also critical when working on multiple projects at the same time, as projects may share the same data sources or have the same business owners.

Additional Skills/Qualifications:

• Knowledge of statistics and experience using statistical packages for analyzing large datasets.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at PL/SQL queries, report writing, and presenting findings.
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics.

Required Skills:

• 3+ years of experience as a Data Analyst.
• 3-5 years' experience with data models, star Schemas, data mining, and segmentation techniques.
• Strong knowledge of and experience with databases and programming.

Preferred Skills:

• Oracle, SQL.
• PL/SQL experience writing their own script not canned scripts.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Government Administration

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